Crude Fourier Series approximation for PDEs.

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SUMMARY

This discussion explores the approximation of partial differential equations (PDEs) using Fourier series, specifically through a crude method involving Taylor series. The example provided illustrates the approximation of the differential equation y' = x + y with the initial condition y(0) = 1, leading to a polynomial approximation. The conversation highlights the necessity of projecting functions into Fourier space to obtain coefficients, raising the question of how to derive an appropriate function for projection when explicit forms are unavailable.

PREREQUISITES
  • Understanding of partial differential equations (PDEs)
  • Familiarity with Fourier series and their applications
  • Knowledge of Taylor series and their approximation techniques
  • Basic concepts of function projection in mathematical analysis
NEXT STEPS
  • Study the derivation of Fourier coefficients for various functions
  • Learn about the application of Fourier series in solving PDEs
  • Explore the relationship between Taylor series and Fourier series
  • Investigate numerical methods for approximating solutions to PDEs
USEFUL FOR

Mathematicians, physicists, and engineers involved in solving partial differential equations, as well as students seeking to understand the relationship between Fourier series and Taylor series approximations.

maistral
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Is there a way to "crudely" approximate PDEs with Fourier series?

By saying crudely, I meant this way:

Assuming I want a crude value for a differential equation using Taylor series;

y' = x + y, y(0) = 1

i'd take a = 0 (since initially x = 0),

y(a) = 1,
y'(x) = x + y; y'(a) = 0 + 1 = 1
y"(x) = 1 + y'; y"(a) = 1 + 1 = 2
y'"(x) = 0 + y"(x); y"'(a) = 0 + 2 = 2

then y ~ 1 + x + 2/2! x^2 + 2/3! x^3.

Or something similar to that. Does this crude method have an analog to Fourier-PDE solutions?
 
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Hey maistral.

With a Fourier series, you need to project your function to the Fourier space to get the co-effecients.

So the question is, how do you get an appropriate function to project to the trig basis if it's not explicit (i.e. you don't have f(x) but a DE system that describes it)?
 

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